Our goal is to reveal temporal variations in videos that
are difficult or impossible to see with the naked eye and display them in an
indicative manner. Our method, which we call Eulerian Video Magnification,
takes a standard video sequence as input, and applies spatial decomposition,
followed by temporal filtering to the frames. The resulting signal is then
amplified to reveal hidden information.

Using our method, we are able to visualize the flow of
blood as it fills the face and also to amplify and reveal small motions. Our
technique can run in real time to show phenomena occurring at temporal
frequencies selected by the user.